# coding: utf-8
"""
Amorphic Data Platform
Amorphic Data Platform - API Definition documentation
The version of the OpenAPI document: 0.3.0
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import pprint
import re # noqa: F401
import json
from pydantic import BaseModel, ConfigDict, Field, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from openapi_client.models.datalab_details_additional_metadata import DatalabDetailsAdditionalMetadata
from openapi_client.models.datalab_details_compute_metadata import DatalabDetailsComputeMetadata
from openapi_client.models.datalab_details_resource_access_metadata import DatalabDetailsResourceAccessMetadata
from openapi_client.models.datalab_details_service_roles import DatalabDetailsServiceRoles
from typing import Optional, Set
from typing_extensions import Self
[docs]
class DatalabDetails(BaseModel):
"""
DatalabDetails
""" # noqa: E501
datalab_id: Optional[StrictStr] = Field(default=None, alias="DatalabId")
datalab_name: Optional[StrictStr] = Field(default=None, alias="DatalabName")
datalab_type: Optional[StrictStr] = Field(default=None, alias="DatalabType")
message: Optional[StrictStr] = Field(default=None, alias="Message")
description: Optional[StrictStr] = Field(default=None, alias="Description")
access_type: Optional[StrictStr] = Field(default=None, alias="AccessType")
datalab_status: Optional[StrictStr] = Field(default=None, alias="DatalabStatus")
created_by: Optional[StrictStr] = Field(default=None, alias="CreatedBy")
creation_time: Optional[StrictStr] = Field(default=None, alias="CreationTime")
last_modified_by: Optional[StrictStr] = Field(default=None, alias="LastModifiedBy")
last_modified_time: Optional[StrictStr] = Field(default=None, alias="LastModifiedTime")
datalab_url: Optional[StrictStr] = Field(default=None, alias="DatalabURL")
estimated_cost: Optional[StrictStr] = Field(default=None, alias="EstimatedCost")
service_roles: Optional[DatalabDetailsServiceRoles] = Field(default=None, alias="ServiceRoles")
compute_metadata: Optional[DatalabDetailsComputeMetadata] = Field(default=None, alias="ComputeMetadata")
additional_metadata: Optional[DatalabDetailsAdditionalMetadata] = Field(default=None, alias="AdditionalMetadata")
resource_access_metadata: Optional[DatalabDetailsResourceAccessMetadata] = Field(default=None, alias="ResourceAccessMetadata")
__properties: ClassVar[List[str]] = ["DatalabId", "DatalabName", "DatalabType", "Message", "Description", "AccessType", "DatalabStatus", "CreatedBy", "CreationTime", "LastModifiedBy", "LastModifiedTime", "DatalabURL", "EstimatedCost", "ServiceRoles", "ComputeMetadata", "AdditionalMetadata", "ResourceAccessMetadata"]
model_config = ConfigDict(
populate_by_name=True,
validate_assignment=True,
protected_namespaces=(),
)
[docs]
def to_str(self) -> str:
"""Returns the string representation of the model using alias"""
return pprint.pformat(self.model_dump(by_alias=True))
[docs]
def to_json(self) -> str:
"""Returns the JSON representation of the model using alias"""
# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
return json.dumps(self.to_dict())
[docs]
@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
"""Create an instance of DatalabDetails from a JSON string"""
return cls.from_dict(json.loads(json_str))
[docs]
def to_dict(self) -> Dict[str, Any]:
"""Return the dictionary representation of the model using alias.
This has the following differences from calling pydantic's
`self.model_dump(by_alias=True)`:
* `None` is only added to the output dict for nullable fields that
were set at model initialization. Other fields with value `None`
are ignored.
"""
excluded_fields: Set[str] = set([
])
_dict = self.model_dump(
by_alias=True,
exclude=excluded_fields,
exclude_none=True,
)
# override the default output from pydantic by calling `to_dict()` of service_roles
if self.service_roles:
_dict['ServiceRoles'] = self.service_roles.to_dict()
# override the default output from pydantic by calling `to_dict()` of compute_metadata
if self.compute_metadata:
_dict['ComputeMetadata'] = self.compute_metadata.to_dict()
# override the default output from pydantic by calling `to_dict()` of additional_metadata
if self.additional_metadata:
_dict['AdditionalMetadata'] = self.additional_metadata.to_dict()
# override the default output from pydantic by calling `to_dict()` of resource_access_metadata
if self.resource_access_metadata:
_dict['ResourceAccessMetadata'] = self.resource_access_metadata.to_dict()
return _dict
[docs]
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of DatalabDetails from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"DatalabId": obj.get("DatalabId"),
"DatalabName": obj.get("DatalabName"),
"DatalabType": obj.get("DatalabType"),
"Message": obj.get("Message"),
"Description": obj.get("Description"),
"AccessType": obj.get("AccessType"),
"DatalabStatus": obj.get("DatalabStatus"),
"CreatedBy": obj.get("CreatedBy"),
"CreationTime": obj.get("CreationTime"),
"LastModifiedBy": obj.get("LastModifiedBy"),
"LastModifiedTime": obj.get("LastModifiedTime"),
"DatalabURL": obj.get("DatalabURL"),
"EstimatedCost": obj.get("EstimatedCost"),
"ServiceRoles": DatalabDetailsServiceRoles.from_dict(obj["ServiceRoles"]) if obj.get("ServiceRoles") is not None else None,
"ComputeMetadata": DatalabDetailsComputeMetadata.from_dict(obj["ComputeMetadata"]) if obj.get("ComputeMetadata") is not None else None,
"AdditionalMetadata": DatalabDetailsAdditionalMetadata.from_dict(obj["AdditionalMetadata"]) if obj.get("AdditionalMetadata") is not None else None,
"ResourceAccessMetadata": DatalabDetailsResourceAccessMetadata.from_dict(obj["ResourceAccessMetadata"]) if obj.get("ResourceAccessMetadata") is not None else None
})
return _obj